基于机器学习的供应链众筹最优设计

Optimal Design of Crowdfunding in Supply Chain Based on Machine Learning

供应链众筹已逐渐成为一个重要的融资渠道。然而,大多数众筹平台的项目往往以失败而告终。大数据时代的发展,机器学习和人工智能成为越来越多领域解决相关问题所采用的方法。众筹产品的实施与发展离不开众筹的发起者和支持者,文章从众筹支持者角度分析,每个支持者对产品的偏好存在不确定,采用Apriori算法来优化传统的分类方法,能够为支持者提供更适合的众筹项目。文章的评价指标都已经接近90%,能将相同的支持者进行正确的分类,进而进行供应链众筹项目的推荐,为众筹的发展提供了有意义的管理建议。

Supply chain crowdfunding has gradually become an important financing channel.However,most crowdfunding platform projects often end in failure.With the development of big data era,machine learning and artificial intelligence have solved some problems in different fields.The implementation and development of crowdfunding products cannot be separated from the initiators and backers of crowdfunding.From the perspective of crowdfunding backers,the paper analyzes the uncertainty of each backer's preference for products.Apriori algorithm is adopted to optimize the traditional classification method,which can provide more suitable crowdfunding projects for backers.The evaluation index of this paper is close to 90%,which can correctly classify the same backers and then recommend the crowdfunding projects in the supply chain,thus providing meaningful management suggestions for the development of crowdfunding.